| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[5]
43
adaptive
PyclusteringXMeans(initial_centers=[array([3.00000000e+00, 1.40000000e+01, 9.04458598e-01, 1.41542830e-02,
1.71673820e-01, 3.56223176e-01, 2.54237288e-01, 4.98107440e-01,
1.40000000e+01, 3.00000000e+00, 5.17880685e-01, 3.79231522e-01,
1.81758781e-01, 4.42126039e-01, 5.31948200e-03]),
array([40. , 37. , 0.05680473, 0.93017752, 0.44186046,
0.46899225, 0.62711864, 0.45011679, 37. , 40. ,
0.39449403, 0.6816209 , 0.10208055, 0.5773961 , 0.04225569])])
None
1
609
1438
5176
2068
precinct, ward, HVAP_pct, BVAP_pct, GARCIA_G15_pct, EMAN_G15_pct, RO_EMAN_G15_pct, normalized_log_area, WARD, PRECINCT, normalized_centroid_x, normalized_centroid_y, uninsured_pct, female_pct, veteran_pct
mean